Transition from paper-based to digital systems involving Biometrics utilisation in healthcare facilities in Lusaka, Zambia (Preprint) DOI Creative Commons
Arnold Hamapa, Joseph Mumba Zulu, Oswell Khondowe

и другие.

Опубликована: Ноя. 23, 2024

BACKGROUND The transition from paper-based to digital systems in healthcare facilities has been driven by the need for improved efficiency and accuracy. Implementing biometric systems, such as fingerprint recognition, a significant component of this transformation. This study aimed assess utilising biometrics Lusaka, Zambia OBJECTIVE METHODS A phenomenological approach was employed gather in-depth insights participants, including Ministry Health officials, workers, end-users (patients). Semi-structured interviews were conducted across selected Lusaka Province, with data collected both English Chinyanja. Thematic analysis using NVivo version 12 applied identify recurring themes patterns related implementing managing systems. RESULTS found that significantly patient identification management. Participants reported enhanced accuracy records, reduced duplication, streamlined access information. However, challenges technical issues power outages privacy concerns noted. Additionally, barriers acceptance included lack information, logistical challenges, community misconceptions about technology. CONCLUSIONS particularly integration technologies, demonstrated considerable benefits settings, operational efficiency. Despite these advantages, addressing perceptual along enhancing education, is crucial maximizing achieving successful Zambia.

Язык: Английский

INTEGRATING MACHINE LEARNING AND BIG DATA ANALYTICS FOR REAL-TIME DISEASE DETECTION IN SMART HEALTHCARE SYSTEMS DOI Creative Commons
Zihad Hasan Joy, M. Joy,

Arfan Uzzaman

и другие.

Deleted Journal, Год журнала: 2024, Номер 1(3), С. 16 - 27

Опубликована: Июнь 3, 2024

The integration of machine learning (ML) and big data analytics within smart healthcare systems represents a transformative advancement in medical services, emphasizing efficiency, accuracy, patient-centered care. This paper investigates the application these advanced technologies real-time disease detection, showcasing their potential to revolutionize delivery. Smart leverage multitude technological components, including Internet Things (IoT) devices, sensors, artificial intelligence (AI), enable continuous monitoring diagnostics. facilitates prompt interventions treatment adjustments, which is particularly advantageous for managing chronic conditions acute illnesses where timely responses are critical improving patient outcomes. Despite evident benefits, traditional infrastructures face significant challenges such as delays diagnosis due manual processes, inefficient handling resulting silos, limited interoperability between different providers, leading worsened health outcomes increased costs. ML offers promising solutions challenges. algorithms can process vast amounts identify patterns predict with high recognizing early signs diseases like cancer or diabetes from images electronic records (EHRs). Big complements by providing necessary infrastructure handle large volumes data, enabling collection, storage, analysis structured EHRs, unstructured clinical notes, wearable devices. By integrating technologies, providers gain deeper insights into trends outcomes, more informed decision-making better management. study employs qualitative research design, focusing on five genuine case studies: Mayo Clinic's predictive heart disease, Cleveland use diagnosis, Kaiser Permanente's management program, Johns Hopkins Hospital's sepsis detection system, Mount Sinai Health System's genomic analysis. Each chosen its relevance comprehensive detailing specific environment context. interprets findings broader context existing literature, importance modernizing addressing inefficiencies. encountered during integration, privacy concerns issues, examined along implemented solutions.

Язык: Английский

Процитировано

12
DESIGNING EARTHQUAKE-RESISTANT FOUNDATIONS: A GEOTECHNICAL PERSPECTIVE ON SEISMIC LOAD DISTRIBUTION AND SOIL-STRUCTURE INTERACTION DOI Creative Commons

Md Al-Arafat,

Md Enamul Kabir,

Avijit Dasgupta

и другие.

Academic journal on science, technology, engineering & mathematics education., Год журнала: 2024, Номер 3(04), С. 19 - 36

Опубликована: Окт. 3, 2024

The design of earthquake-resistant foundations is a critical aspect geotechnical engineering, particularly in regions susceptible to seismic activity. This study explores the role load distribution and soil-structure interaction development resilient foundation systems. By integrating advanced analysis techniques, research examines various soil types, materials, structural configurations identify optimal conditions for mitigating impacts. Emphasis placed on understanding between properties, stiffness, forces, with goal improving safety durability built environments. findings contribute better predictive models designing that can withstand loads while ensuring long-term stability.

Язык: Английский

Процитировано

1
Transition from paper-based to digital systems involving Biometrics utilisation in healthcare facilities in Lusaka, Zambia (Preprint) DOI Creative Commons
Arnold Hamapa, Joseph Mumba Zulu, Oswell Khondowe

и другие.

Опубликована: Ноя. 23, 2024

BACKGROUND The transition from paper-based to digital systems in healthcare facilities has been driven by the need for improved efficiency and accuracy. Implementing biometric systems, such as fingerprint recognition, a significant component of this transformation. This study aimed assess utilising biometrics Lusaka, Zambia OBJECTIVE METHODS A phenomenological approach was employed gather in-depth insights participants, including Ministry Health officials, workers, end-users (patients). Semi-structured interviews were conducted across selected Lusaka Province, with data collected both English Chinyanja. Thematic analysis using NVivo version 12 applied identify recurring themes patterns related implementing managing systems. RESULTS found that significantly patient identification management. Participants reported enhanced accuracy records, reduced duplication, streamlined access information. However, challenges technical issues power outages privacy concerns noted. Additionally, barriers acceptance included lack information, logistical challenges, community misconceptions about technology. CONCLUSIONS particularly integration technologies, demonstrated considerable benefits settings, operational efficiency. Despite these advantages, addressing perceptual along enhancing education, is crucial maximizing achieving successful Zambia.

Язык: Английский

Процитировано

0